Sliding-windowed weighted recursive least-squares method for parameter estimation

Presents a modified method of the exponentially weighted recursive least-squares (WRLS) estimation using a sliding window. In the method, two windowing techniques are simultaneously used to ensure that the estimator has a good parameter tracking property and that the estimated parameters converge the true parameters. Simulation shows that the proposed method tracks rapidly time-varying parameters more effectively than WRLS.